From data-opolies to decentralization? The AI disruption amid the Web3 promiseland at stake in datafied democracies

Calzada, Igor ORCID: https://orcid.org/0000-0002-4269-830X 2025. From data-opolies to decentralization? The AI disruption amid the Web3 promiseland at stake in datafied democracies. Presented at: RIIFORUM 2024: Research and Innovation Forum 2024, Krakow, Poland, 8-11 April 2024. Published in: Visvizi, Anna, Troisi, Orlando, Corvello, Vincenzo and Grimaldi, Mara eds. Research and Innovation Forum 2024. RIIFORUM 2024. Springer Proceedings in Complexity Cham: pp. 321-330. 10.1007/978-3-031-78623-5_26

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Abstract

This chapter investigates “data-opolies” within Web3 and Artificial Intelligence (AI), highlighting their implications for democracy and their impact on business and society. Data-opolies are defined as dominant entities, usually large tech corporations, that control vast amounts of data, affecting market competition and transparency. The chapter discusses how the monopolization of data by these entities creates power imbalances, challenging democratic values. It explores how AI, when controlled by data-opolies, amplifies their influence, raising concerns about privacy, ethical AI use, and equitable access to technology. The concentration of data and AI capabilities in the hands of a few exacerbates socio-economic divides and threatens democracy by potentially manipulating public opinion and information flow. The chapter examines Web3 innovations as a decentralized, transparent, and user-empowering alternative to traditional data control models. These technologies are presented as tools for democratizing data ownership, enhancing individual autonomy, and fostering an inclusive digital economy. However, the chapter also questions these assumptions, especially in the context of crypto-libertarian maneuvers around the “Network State” paradigm. In conclusion, the chapter emphasizes the need for a balanced approach to leveraging AI and Web3 to mitigate democracy’s erosion by data-opolies. It calls for collaborative efforts and a multistakeholder approach to developing regulatory frameworks and ethical guidelines that align with democratic values, ensuring the responsible use of AI and data in society.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Social Sciences (Includes Criminology and Education)
ISBN:	9783031786228
ISSN:	2213-8684
Last Modified:	04 Aug 2025 12:00
URI:	https://orca.cardiff.ac.uk/id/eprint/180238

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